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לפני 1 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Principal Architect who combines deep technical mastery with product sensibility, business understanding, and organizational insight. This is a senior individual-contributor role with broad influence and high visibility across engineering, product, and leadership.
You will shape the architecture of our platform across multiple domains, drive strategic technical decisions, and partner with cross-functional leaders to align architectural direction with product, business, and organizational goals.
You are not just a technologist - you are a systems thinker who understands how technology enables outcomes, how teams and organizations scale, and how product strategy and technical strategy intersect.
What Youll Do
Architectural Ownership & Thought Leadership
Lead architecture across core domains, such as:
Distributed systems at massive scale
Streaming and real-time data pipelines
Query engines, analytics, and data processing
Storage architectures and object-store-based systems
SaaS control planes and high-scale multi-tenancy
Anticipate systemic needs, identify opportunities, and drive architectural initiatives end-to-end - from design through alignment and delivery
Act as a trusted advisor and thought partner for senior engineering, product, and executive stakeholders
Cross-Functional Impact
Translate product and business strategy into architectural trade-offs and decisions
Help define the how behind ambitious organizational outcomes (e.g., performance, reliability, cost efficiency, developer velocity at petabyte-scale)
Mentor and influence engineers across teams to elevate architectural quality and execution
Organizational Intelligence in Practice
Embody an integrative perspective: understand technology constraints, product priorities, customer problems, and organizational dynamics
Help shape how the company thinks about architecture as a strategic asset - not just a technical discipline.
Requirements:
Depth and Breadth
Proven long-term experience shaping large-scale data systems in production and defining technical direction
Strong background with hyperscale or high-growth data platforms (analytics engines, databases, streaming systems, etc.)
Systems AND Strategy
Deep understanding of distributed systems, failure modes, storage and query execution, and complex streaming and batch processing
An ability to navigate technical complexity while grounding decisions in business outcomes and product value
Influence and Leadership
Track record influencing across engineering, product, and leadership, using trust and strong people skills
Strong communicator who can advocate for robust architectural direction and build alignment
Organizational Insight
Evidence of thinking beyond code - you understand organizational structures, collaboration patterns, and how teams deliver at scale
Strong Advantage
Previous R&D leadership experience
Active involvement in open-source projects as a contributor or maintainer
Why This Role Matters
Youll work on systems that operate at multi-petabyte daily scale, where architecture truly matters.
Your decisions will shape not just products, but the foundation of a new category.
Youll partner with engineers and leaders who value deep technical excellence and strategic thinking.
Youll help define how our company - and ultimately our customers - make sense of and act on organizational data.
Cultural Fit
Were seeking candidates who are hungry, humble, and smart. our company fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, wed love to hear from you.
This position is open to all candidates.
 
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משרה בלעדית
לפני 5 שעות
דרושים בוראסיטי
Location: Tel Aviv-Yafo
Job Type: Full Time
We're seeking a? Principal Engineer?to play a pivotal role in shaping the future of our expanding platform. This is your opportunity to work on cutting-edge projects, influence high-level decisions, and mentor talented engineers in a dynamic, fast-paced environment
The Role
The Principal Engineer is our highest individual contributor role. You will shape the long-term technical direction of the Casino Platform, driving architectural strategy across multiple teams while remaining deeply hands-on. You will be a trusted advisor to engineering leadership and a force multiplier for the entire organisation.
Requirements:
What We're Looking For
- 10+ years of software engineering experience, with a strong backend and distributed systems foundation
- Recognised expertise in JAVA and Spring Boot at scale
- Deep, production-proven mastery of Oracle DB, MongoDB, Redis, and Elasticsearch
- Extensive experience architecting distributed, event-driven, high-throughput systems
- Demonstrated track record of defining and delivering platform-level technical strategy
- Experience operating and scaling systems on private cloud or on-premise infrastructure
- Exceptional written and verbal communication - able to influence at all levels of the organisation
- Strong understanding of security, compliance, and data governance in regulated environments.
This position is open to all candidates.
 
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לפני 2 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Software Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
דרישות:
A Deep Technical Expert: Someone with 8+ years of hands-on experience with AWS and cloud-native infrastructure at scale, including strong Kubernetes expertise and distributed systems knowledge.
An Infrastructure Architect: Someone with deep experience in Infrastructure as Code and GitOps methodologies using tools like Terraform, Crossplane, or Pulumi.
A Pragmatic Builder: A strong engineer with programming experience in Python or Go who can build tools, prototypes, and automation when needed.
A Systems Thinker: Someone who can identify patterns, uncover systemic issues, and drive improvements across complex technical environments.
An Influential Technical Leader: Someone with proven experience leading cross-team initiatives and driving alignment without direct authority.
A Strategic Operator: Someone who balances short-term pragmatism with long-term architectural thinking and sustainable execution.
An AI Infrastructure Enabler (Advantage): Experience supporting AI/ML infrastruct#ENGLIS המשרה מיועדת לנשים ולגברים כאחד.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.
A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.
Requirements:
8+ years of experience in software engineering, with at least 3+ years in a dedicated Data Architect or Principal Database Engineer role.
Deep expertise in designing and scaling complex transactional and analytical data systems (e.g., PostgreSQL, MySQL, NoSQL databases like Cassandra or MongoDB).
Strong understanding of distributed systems, microservices architecture, and their impact on data persistence.
Excellent collaboration and communication skills, with the ability to influence technical decisions across the organization.
Grasp of the big picture: we are on a mission to improve the way our users work and to revolutionize the entire events industry.
Team player with strong communication skills, an egoless and transparent approach, and a positive attitude.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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21/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
Experience designing and enforcing integration governance: access control models, audit logging, approval workflows, and token management
Familiarity with Model Context Protocol (MCP) or direct experience connecting AI models to enterprise systems in a production context
Proven ability to lead distributed technical teams and communicate architecture clearly to both executive sponsors and engineering teams - you can hold a technical standard without becoming a bottleneck
Experience with the requisite AI-related Audit Management frameworks (ISO42001, ISO27001, SOC 2, etc.)
This position is open to all candidates.
 
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22/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.
Requirements:
10+ years of hands-on Software Engineering experience, with 2+ years in a Principal or Architect role leading multi-team technical strategies.
Proven experience building SaaS products alongside deep knowledge of message brokers and infrastructure.
Experience architecting systems that handle multi-region, large workloads with extreme throughput requirements.
Expert-level knowledge of cloud-native ecosystems (AWS, GCP, or Azure) and container orchestration at scale (Kubernetes).
Proficiency in Golang and Python, with a deep understanding of low-level performance tuning and concurrency models.
B.Sc. or M.Sc. in Computer Science or Software Engineering, or leadership experience in elite military technology units.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
📍 Work location: hybrid from Tel Aviv
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter
Requirements:
3+ years of hands-on experience with AWS, including solution design, migration, and production systems
2+ years in customer-facing technical roles, for example Cloud Architect, SRE, or Customer Engineer, working directly with stakeholders
Solid understanding of modern data architectures, including batch, streaming, and lakehouse patterns
Practical experience with core AWS data services, such as S3, Glue, Redshift, Kinesis or MSK, EMR, Athena, Lambda, and IAM
Familiarity with broader AWS infrastructure, including networking, IAM, and compute patterns
Experience working with real-time or near real-time data processing
Strong grasp of data modeling, pipelines, and storage optimization
Ability to reason about trade-offs, not just select tools
Ability to lead end-to-end technical engagements, from discovery through delivery
Comfort operating in fast-moving environments with ambiguous requirements
Clear communication skills, able to explain technical decisions to both technical and non-technical stakeholders
Strong communication skills in English. Spanish is a plus
Basic understanding of security and access control in AWS environments
Experience writing HLDs, SOWs, and supporting pre-sales engagements
Experience with ETL processes, data lakes, and pipelines
Nice to Have
Experience with Iceberg, dbt, or similar modern data tooling
Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines
AWS certifications (Solutions Architect, Data Analytics, or similar)
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions
Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
15+ years in engineering leadership, including executive experience running large engineering functions
Track record delivering large-scale, multi-product platforms with measurable business impact
Deep expertise in software architecture, data systems, AI/ML workflows, security, and reliability
Strong people leadership and executive presence with proven cross-functional collaboration skills
Experience with modern engineering practices: Agile/Lean, CI/CD, cloud ecosystems, observability
Data-driven approach to decision making with focus on quantified outcomes and customer value
Educational degree in Computer Science, Engineering, or related field (or equivalent experience)
Ready to work in an office environment most days of the week
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Chief Architect, SASE/SSE.
The Chief Architect, SASE/SSE is the senior technical authority responsible for shaping and driving the end‑to‑end architecture, technology vision, and innovation strategy for HPEs SASE/SSE (Security Service Edge) platforms.
This role builds from first principles to support mission‑critical, global‑scale security and networking services, continuously pushing architectural boundaries to solve complex customer problems. The Chief Architect brings deep technical judgment, systems thinking, and industry perspective to translate customer, product, and business needs into secure, scalable, and differentiated cloud-native solutions.
Operating at the intersection of engineering, product, security, and business strategy, the Chief Architect ensures architectural coherence across data plane, control plane, identity, policy, analytics, and operations-while enabling teams to innovate and execute with speed and quality.
The Chief Architect is also expected to champion an AI-first mindset across the SASE/SSE platform and engineering organization, identifying where AI and automation can meaningfully improve customer value, engineering velocity, operational efficiency, and decision-making at scale.
Requirements:
Bachelors, Masters, or PhD in Computer Science, Engineering, Information Systems, or a closely related quantitative discipline.
Typically 15+ years of progressive experience in cloud, security, networking, or large‑scale distributed systems architecture.
Demonstrated experience leading architecture for complex, global, cloud‑native platforms with strong security and reliability requirements.
Experience driving or enabling AI/ML-based capabilities in large-scale platforms is highly desirable.
Knowledge and Skills:
Deep expertise in cloud‑native architecture, distributed systems, and platform‑scale software design.
Strong background in security and networking architectures, ideally including SASE, SSE, Zero Trust, identity, and policy‑driven systems.
Exceptional analytical and problem‑solving skills, with the ability to simplify complex systems and drive clear architectural decisions.
Proven ability to align technology strategy with business outcomes, financial considerations, and customer impact.
Track record of technical innovation, including patents, published designs, or successful large‑scale product deployments.
Outstanding communication skills, capable of influencing and aligning stakeholders at the executive and industry level.
Strong understanding of AI concepts, data pipelines, and automation techniques, with the ability to apply them pragmatically to real-world engineering and product challenges.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Are you a master of the AI lifecycle who can thrive at the intersection of deep learning research, cybersecurity and large-scale production systems? Do you possess the rare ability to jump into a complex technical crisis, diagnose a bottleneck in a Small Language Model (SLM), and lead a team to a production-ready solution?
As a Distinguished AI/ML Architect, you will be the premier technical authority across the Cortex AI/ML organization. You will serve as the "force multiplier" for multiple AI & ML teams, ensuring that our AI strategy - from endpoint-deployed DL/ML models to cloud-scale agentic products - is executed with world-class precision. You will operate as the primary technical architect and hands-on leader for our most ambitious and difficult initiatives.
Key Responsibilities
Operate at the forefront of AI and cybersecurity, leveraging vast datasets to design and deploy innovative defense mechanisms.
Provide horizontal technical leadership across endpoint, cloud, and agentic AI teams to ensure architectural excellence.
Oversee the design and deployment of different model architectures to guarantee scalability and high-performance standards.
Spearhead high-difficulty initiatives and new research frontiers, moving them from ambiguity to production.
Resolve complex technical bottlenecks across the stack, optimizing model efficiency and runtime performance.
Align research and engineering efforts to transform advanced models into robust, production-grade products.
Requirements:
10+ years of hands-on experience delivering production-grade machine learning and deep learning projects at scale.
Proven ability to own the entire lifecycle of a project-taking ambiguous ideas from initial research through to successful production deployment.
Extensive experience designing, training, and fine-tuning complex models, including SLMs and LLMs, tailored to specific proprietary datasets.
Track record of shipping diverse models to production across both resource-constrained endpoints and high-throughput cloud environments.
Deep expertise in building and optimizing agentic AI systems, including RAG architectures and autonomous workflows.
Demonstrated ability to lead technical strategy, ensuring research code is scalable, reliable, and production-ready.
Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field.
Excellent communication skills, with the ability to articulate complex architectural decisions to both technical teams and leadership.
Preferred Qualifications
Background in the cybersecurity domain, specifically in developing AI/ML models to detect and prevent cyber attacks.
Deep cybersecurity expertise in non-AI fields, such as vulnerability research, reverse engineering, or low-level security systems development.
Experience with low-level performance engineering, including model quantization, pruning, and runtime frameworks like ONNX or TensorRT.
This position is open to all candidates.
 
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